class_docstr: A tuple of the evaluation value of the objective function
  and a variance if known.
class_docstr_tok: ["A","tuple","of","the","evaluation","value","of","the","objective","function","and","a","variance","if","known","."]
code: def __str__(self):
      return f"{self.value:.3f} ± {math.sqrt(self.variance):.1f}"
  
file_path: hypertunity/hypertunity/optimisation/base.py
imports: import abc
  import math
  from dataclasses import dataclass
  from typing import Any, Dict, List, Sequence
  from hypertunity.domain import Domain, Sample
label_desc: Use image node_id 1 for calling the EvaluationScore obj's underlying member method code with example usage: obj.__str__() and returns: self, str, math